Global optimization of multicomponent distillation configurations: 2. Enumeration based global minimization algorithm
- Purdue Univ., West Lafayette, IN (United States)
We present a general Global Minimization Algorithm (GMA) to identify basic or thermally coupled distillation configurations that require the least vapor duty under minimum reflux conditions for separating any ideal or near-ideal multicomponent mixture into a desired number of product streams. In this algorithm, global optimality is guaranteed by modeling the system using Underwood equations and reformulating the resulting constraints to bilinear inequalities. The speed of convergence to the globally optimal solution is increased by using appropriate feasibility and optimality based variable-range reduction techniques and by developing valid inequalities. As a result, the GMA can be coupled with already developed techniques that enumerate basic and thermally coupled distillation configurations, to provide for the first time, a global optimization based rank-list of distillation configurations.
- Research Organization:
- Purdue Univ., West Lafayette, IN (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency Office. Advanced Manufacturing Office
- Grant/Contract Number:
- EE0005768
- OSTI ID:
- 1238668
- Journal Information:
- AIChE Journal, Vol. 55, Issue 2; ISSN 0001-1541
- Publisher:
- American Institute of Chemical EngineersCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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